The lightest charmed baryon \(\Lambda _c^+\) was first observed in \(e^+e^-\) annihilation at the Mark II experiment [1]. Hadronic \(\Lambda _c^+\) decays offer an ideal platform to understand both strong and weak interactions. Most branching fractions (BFs) of \(\Lambda _c^+\) decays were previously measured relative to the BF of \(\Lambda _c^+\rightarrow p K^-\pi ^+\) [2]. In recent years, the BESIII experiment reported a series of absolute measurements of exclusive decays of the \(\Lambda _c^+\) baryon [3,4,5,6,7,8,9,10]. The precision of BFs for the known decay modes was significantly improved and some new decay modes were observed. Using the statistical isospin model [11], it is estimated that about 90% of the \(\Lambda _c^+\) decay modes are now known. Measurements of the BFs for inclusive decays of the \(\Lambda _c^+\) baryon are important to understand its decay mechanisms and indicate the size and type of unmeasured decays by comparing with the BFs for the corresponding exclusive decays.

The Cabibbo-favored (CF) decays of charmed mesons have been well studied [2]. However, the information of the CF decays of charmed baryons is relatively limited. The \(\Lambda _c^+\) CF decays are dominantly modes involving \(\Lambda \), \(\Sigma \) and \({\bar{K}}\) in the final state. According to the statistical isospin model, the total BF of the observed and extrapolated CF decays of \(\Lambda _c^+\) baryon is \((83.2\pm 4.9)\%\) [11]. Measurements of the BF of the inclusive decays will help to characterize \(\Lambda _c^+\) CF decays. Recently, BESIII measured the absolute inclusive BF \({{\mathcal {B}}}(\Lambda _c^+ \rightarrow \Lambda X) = (38.2^{+2.8}_{-2.2}\pm 0.9\))% [12], which appears to be larger than the total observed and extrapolated BFs for exclusive \(\Lambda \) decays (\(31.7\pm 1.4\))% [11]. The total BF of exclusive \({\bar{K}}^0/K^0\) decays of \(\Lambda _c^+\) is estimated to be \((22.4\pm 0.9)\%\) by the statistical isospin model [11], as listed in Table 1, while the total observed BF for decays to \({\bar{K}}^0/K^0\) only sum to (\(16.1\pm 0.8\))%. Determining the absolute BF of inclusive \(\Lambda _c^+\) decays to \({\bar{K}}^0/K^0\) will help to quantify the missing decay modes and test the predicted BFs of decay modes extrapolated by the statistical isospin model.

In this paper, we measure the absolute BF of the inclusive decay of the \(\Lambda _c^+\) to \(K_S^0\) (\(\Lambda _c^+ \rightarrow K_S^0X\)) for the first time, where X indicates all possible particle combinations. This analysis uses 567 \(\hbox {pb}^{-1}\) of data [13] collected at the center-of-mass energy \(\sqrt{s} = 4.6\) GeV with the BESIII detector. The measurement is performed using the double-tag (DT) technique [14], since there is no additional hadrons accompanying \(\Lambda _c^+{\bar{\Lambda }}_c^-\) pair produced at this energy. First, the \({\bar{\Lambda }}_c^-\) baryons are reconstructed with exclusive hadronic decay modes which are called the single-tag (ST) modes. Then the \(\Lambda _c^+ \rightarrow K_S^0X\) mode is reconstructed in the \({\bar{\Lambda }}_c^-\) recoiling side, called the signal mode or the DT mode. The ST \({\bar{\Lambda }}_c^-\) baryons are reconstructed including the following eleven hadronic decay modes: \({\bar{p}}K_S^0\), \({\bar{p}}K^+\pi ^-\), \({\bar{p}}K_S^0\pi ^0\), \({\bar{p}}K_S^0\pi ^+\pi ^-\), \({\bar{p}}K^+\pi ^-\pi ^0\), \({\bar{\Lambda }}\pi ^-\), \({\bar{\Lambda }}\pi ^-\pi ^0\), \({\bar{\Lambda }}\pi ^-\pi ^+\pi ^-\), \({\bar{\Sigma }}^0\pi ^-\), \({\bar{\Sigma }}^-\pi ^0\), and \({\bar{\Sigma }}^-\pi ^+\pi ^-\), with a total BF of \((35.0\pm 0.7)\%\). Throughout this paper, charge-conjugate modes are implicitly assumed unless explicitly stated.

Table 1 Observed and extrapolated BFs for exclusive \({\bar{K}}^0/K^0\) decays of \(\Lambda _c^+\) CF decays [2, 11]. Here, observed BFs are referred from Particle Data Group (PDG) [2] and extrapolated BFs are referred from Ref. [11]. BFs of the \({\bar{K}}^0/K^0\) decay modes are obtained by doubling those quoted for \(K_S^0\) decay modes. The total uncertainty is obtained as the sum in quadrature
Table 2 Requirements on \(\Delta E\), ST yields in data (\(N_i^{\mathrm{tag}}\) ), ST (\(\epsilon _i^{\mathrm{tag}}\)) and DT (\(\epsilon _i^{\mathrm{tag,sig}}\)) efficiencies for the tag mode i. Uncertainties on N are statistical only, while uncertainties on efficiencies are due to the MC statistics. The quoted efficiencies do not include any BFs of subsequent decays

The BESIII detector is described in detail in Ref. [15]. It has an effective geometrical acceptance of 93% of 4\(\pi \). The cylindrical core of the BESIII detector consists of a small-cell, helium-based (40% He, 60% \(\hbox {C}_3\hbox {H}_8\)) multi-layer drift chamber (MDC), a plastic scintillator time-of-flight system (TOF), a CsI(Tl) electromagnetic calorimeter (EMC), and a muon system containing resistive plate chambers in the iron return yoke of a 1 T superconducting solenoid. The momentum resolution for charged tracks is 0.5% at a momentum of 1 GeV/c. Charged particle identification (PID) is accomplished by combining the energy loss (dE/dx) measurements in the MDC and flight times in the TOF. The photon energy resolution at 1 GeV is 2.5% in the barrel and 5% in the end caps.

A Monte Carlo (MC) simulation based on GEANT4 [16] includes the geometric description of the BESIII detector and its response. We generate high-statistics MC samples to study the background and estimate the detection efficiencies; initial-state radiation (ISR) [17] and final-state radiation [18] are also included in the MC simulation. \(\Lambda _c^+{\bar{\Lambda }}_c^-\) pairs, \(D_{(s)}^{(*)}{\bar{D}}_{(s)}^{(*)}X\) production, ISR production of \(\psi \) states, and continuum \(q{\bar{q}}\) processes are simulated with generic MC samples generated using the KKMC generator [19, 20]. The known decay modes are simulated with EVTGEN [21, 22] using BFs taken from PDG [2], and the remaining unknown decays are simulated with the LUNDCHARM model [23].

Charged tracks are detected in MDC. For prompt tracks, the polar angle (\(\theta \)) is required to satisfy \(|\cos \theta |<0.93\), and the point of closest approach to the interaction point (IP) is required to be less than 10 cm in the beam direction and less than 1 cm in the transverse plane. Secondary tracks used to reconstruct \(K_S^0\) or \({\bar{\Lambda }}\) candidates are subject to different IP requirements as detailed below. Particle identification (PID) for charged tracks combining the measurements of the energy loss dE/dx in the MDC and the flight time information is employed to calculate a likelihood \({\mathcal {L}}(h)\) for each hadron (\(h=p, K\), or \(\pi \)) hypothesis. Protons, kaons and pions are identified by requiring that the likelihood for the given hypothesis is larger than for both of the other two hypotheses.

Photon candidates are reconstructed by clustering electromagnetic calorimeter (EMC) crystal energies. The deposited energy is required to be greater than 25 MeV in the EMC barrel region (\(|\cos \theta |<0.80\)) and 50 MeV in the EMC end cap region (\(0.86<|\cos \theta |<0.92\)). To eliminate showers from charged particles, the angle between the photon and the nearest charged track is required to be greater than \(20^\circ \). Timing requirements are used to suppress electronic noise and energy deposits in the EMC unrelated to the event. \(\pi ^0\) candidates are reconstructed from photon pairs with an invariant mass in the range \(0.115<M_{\gamma \gamma }<0.150\) GeV/\(c^2\). A mass-constrained fit to the \(\pi ^0\) nominal mass [2] is performed to improve the momentum resolution.

\(K_S^0\) and \({\bar{\Lambda }}\) candidates are reconstructed by combining pairs of oppositely charged tracks (\(\pi ^+\pi ^-\) for \(K_S^0\) and \({\bar{p}}\pi ^+\) for \({\bar{\Lambda }}\)) satisfying \(|\cos \theta |<0.93\) for the polar angle. The distance to the IP in the beam direction is required to be within 20 cm. No distance constraints in the transverse plane are required. Charged pions from these decays are not subjected to the PID requirement, while proton PID is applied in order to improve signal significance. The two charged tracks are constrained to originate from a common decay vertex by requiring the \(\chi ^2\) of the vertex fit to be less than 100. Furthermore, the decay vertex is required to be separated from the IP by a distance of at least twice the uncertainty of the vertex fit. To select \(K_S^0\), \({\bar{\Lambda }}\), \({\bar{\Sigma }}^0\), and \({\bar{\Sigma }}^-\), the invariant mass of \(\pi ^+\pi ^-\), \({\bar{p}}\pi ^+\), \({\bar{p}}\pi ^+\gamma \) and \({\bar{p}}\pi ^0\) are required to be within (0.487, 0.511) GeV/\(c^2\), (1.111, 1.121) GeV/\(c^2\), (1.179, 1.203) GeV/\(c^2\) and (1.176, 1.200) GeV/\(c^2\), respectively.

For the ST modes \({\bar{p}}K_S^0\pi ^0\), \({\bar{p}}K_S^0\pi ^+\pi ^-\) and \({\bar{\Sigma }}^-\pi ^+\pi ^-\), background events containing a \({\bar{\Lambda }}\) are rejected by vetoing candidate events with \(M({\bar{p}}\pi ^+)\) in the interval (1.110, 1.120) GeV/\(c^2\). \(K_S^0\) backgrounds for the ST modes \({\bar{\Lambda }}\pi ^-\pi ^+\pi ^-\), \({\bar{\Sigma }}^-\pi ^0\) and \({\bar{\Sigma }}^-\pi ^+\pi ^-\) are suppressed by requiring \(M(\pi ^+\pi ^-)\) or \(M(\pi ^0\pi ^0)\) to be outside of (0.480, 0.520) GeV/\(c^2\). To remove \({\bar{\Sigma }}^-\) background in the ST mode \({\bar{p}}K_S^0\pi ^0\), candidates within the range \(1.170<M({\bar{p}}\pi ^0)<1.200\) GeV/\(c^2\) are excluded.

The quantities \(M_{\mathrm{BC}}=\sqrt{E^2_{\mathrm{beam}}-|\vec {p}_{{\bar{\Lambda }}_c^-}|^2}\) and \(\Delta E=E_{{\bar{\Lambda }}_c^-}-E_{\mathrm{beam}}\) are used to identify ST \({\bar{\Lambda }}_c^-\) candidates, where \(E_{\mathrm{beam}}\) is the beam energy and \(E_{{\bar{\Lambda }}_c^-}\) and \(\vec {p}_{{\bar{\Lambda }}_c^-}\) are energy and momentum of the \({\bar{\Lambda }}_c^-\) candidate. To improve the signal purity, \(|\Delta E|\) requirements corresponding to about three times the resolutions are imposed on \({\bar{\Lambda }}_c^-\) candidates; details are given in Table 2. If there is more than one candidate per ST mode, the one with minimum \(|\Delta E|\) is chosen. The \({\bar{\Lambda }}_c^-\) signals are clearly visible in the \(M_{\mathrm{BC}}\) distributions of the eleven tag modes, as shown in Fig. 1. Peaking backgrounds are negligible according to MC studies [24]. Unbinned maximum likelihood fits to \(M_{\mathrm{BC}}\) distributions are used to determine the ST yields for each tag mode, where the signal shape is described by the MC-simulated shape convolved with a Gaussian function to better match the resolution found in data, and the background shape is described by an ARGUS function [25]. The resultant ST yields in the signal region \(2.282< M_{\mathrm{BC}}< 2.300\) GeV/\(c^2\) and the corresponding detection efficiencies are listed in Table 2.

Fig. 1
figure 1

Fits to the distributions of \(M_{\mathrm{BC}}\) in data sample for different ST \({\bar{\Lambda }}_c^-\) modes, where the black dots with error bars are data, the blue lines are the fit results, the dashed red lines are signal shapes, and the dashed green lines are background shapes

We select \(K_S^0\) candidates among the remaining tracks on the recoiling side of the tagged \({\bar{\Lambda }}_c^-\). The selection criteria of \(K_S^0\) are the same as those used in the ST \({\bar{\Lambda }}_c^-\) selection. If there is more than one \(K_S^0\) candidate, the one with the minimum vertex fit \(\chi ^2\) is selected for further analysis. Figure 2a shows the distribution of \(M_{\mathrm{BC}}\) versus the invariant mass of \(\pi ^+\pi ^-\) pairs, \(M(\pi ^+\pi ^-)\), of the accepted candidates for all eleven tag modes. There is a clear \(\Lambda _c^+ \rightarrow K_S^0X\) signal in the intersection of the \(K_S^0\) and the ST \({\bar{\Lambda }}_c^-\) signal bands. A two-dimension (2D) fit to the distribution of \(M_{\mathrm{BC}}\) versus \(M(\pi ^+\pi ^-)\) is performed to determine the signal yield, as shown in Fig. 2. The signal function is the product of the \({\bar{\Lambda }}_c^-\) signal function and \(K_S^0\) signal function. There are three kinds of background: the background peaking neither in the \(M_{\mathrm{BC}}\) distribution nor in the \(M(\pi ^+\pi ^-)\) distribution is described by the product of \({\bar{\Lambda }}_c^-\) background function and \(K_S^0\) background function; the background peaking around the \({\bar{\Lambda }}_c^-\) mass in the \(M_{\mathrm{BC}}\) distribution is described by the product of \({\bar{\Lambda }}_c^-\) signal function and \(K_S^0\) background function; the background peaking around the \(K_S^0\) mass in the \(M(\pi ^+\pi ^-)\) distribution is described by the product of \({\bar{\Lambda }}_c^-\) background function and \(K_S^0\) signal function. The \({\bar{\Lambda }}_c^-\) signal is described by the MC-simulated shape convolved with a Gaussian function, while background is ARGUS function. The \(K_S^0\) signal and background functions are described by a Gaussian function and a first-order polynomial, respectively. The signal yield is fitted to be \(478\pm 27\), where the uncertainty is statistical.

Fig. 2
figure 2

a, b Distributions and c and d projections of \(M_\mathrm{BC}\) versus \(M(\pi ^+\pi ^-)\) of the DT candidate in a data and b the 2D fit result, where the black dots with error bars are data, the blue solid curves are the fit results, the red-dashed lines are signal function, the black-dashed lines are background neither peaking in the \(M(\pi ^+\pi ^-)\) distribution nor the \(M_{\mathrm{BC}}\) distribution, the green-dotted lines are background peaking around the \({\bar{\Lambda }}_c^-\) mass in the \(M_{\mathrm{BC}}\) distribution, and the cyan-dash-dotted lines are background peaking around the \(K_S^0\) mass in the \(M(\pi ^+\pi ^-)\) distribution

The absolute BF \({\mathcal {B}}^{\mathrm{sig}} = {{\mathcal {B}}}(\Lambda _c^+ \rightarrow K_S^0X)\) is determined by

$$\begin{aligned} {\mathcal {B}}^{\mathrm{sig}}=\frac{N^{\mathrm{sig}}}{{\mathcal {B}}(K_S^0\rightarrow \pi ^+\pi ^-)\cdot \sum _{i}N_i^{\mathrm{tag}}\cdot \epsilon _i^\mathrm{tag,sig}/\epsilon _i^{\mathrm{tag}}}, \end{aligned}$$
(1)

where \(\epsilon _i^{\mathrm{tag,sig}}\) is the DT efficiency for the tag mode i, as listed in Table 2. The absolute BF of \(\Lambda _c^+ \rightarrow K_S^0X\) is calculated to be \({\mathcal {B}}(\Lambda _c^+ \rightarrow K_S^0X) = (9.9\pm 0.6)\%\), the uncertainty is statistical only. The reliability of the analysis method used in this work has been validated by analyzing the generic MC sample.

Systematic uncertainties from the ST side mostly cancel in the BF measurement with the DT method. Other systematic uncertainties for measuring \({\mathcal {B}}(\Lambda _c^+ \rightarrow K_S^0X)\) are described below and summarized in Table 3.

We refer to the systematic uncertainty for \(\sum N_i^{\mathrm{tag}}\cdot \epsilon _i^{\mathrm{tag,sig}}/\epsilon _i^{\mathrm{tag}}\) as ST-related systematic uncertainty. The systematic uncertainty of the ST yields (\(N_i^{\mathrm{tag}}\)) is studied by altering the signal shape, fitting range, and end point of the ARGUS function. The uncertainty due to limited MC statistics is taken as the uncertainty of the ST and DT efficiencies (\(\epsilon _i^{\mathrm{tag}}\) and \(\epsilon _i^\mathrm{tag,sig}\)). The total relative ST-related systematic uncertainty is calculated to be 1.2%. The systematic uncertainty of the \(K^0_S\) reconstruction is determined to be 1.5% by studying control samples of \(J/\psi \rightarrow K^{*\mp }K^{\pm }\) and \(J/\psi \rightarrow \phi K_S^0K^{\pm }\pi ^{\mp }\) and weighting over the momentum of the \(K^0_S\) [26]. The systematic uncertainty for \({\mathcal {B}}(K_S^0\rightarrow \pi ^+\pi ^-)\) is 0.1% from PDG [2]. The systematic uncertainty of the signal yield is estimated by altering the \(K_S^0\) signal function, background function and the 2D fit range, The relative changes (3.4%) in the BF are taken as systematic uncertainties. Assuming no correlations between sources, the total systematic uncertainty is obtained as the sum in quadrature.

Table 3 Systematic uncertainties in the measurement of the BF of \(\Lambda _c^+ \rightarrow K_S^0X\)

In summary, the absolute BF of the inclusive decay \(\Lambda _c^+ \rightarrow K_S^0X\) is measured for the first time by using an \(e^+e^-\) data sample of 567 \(\hbox {pb}^{-1}\) taken at \(\sqrt{s} = 4.6\) GeV with the BESIII detector. The result is \({\mathcal {B}}(\Lambda _c^+ \rightarrow K_S^0X) = (9.9\pm 0.6\pm 0.4)\%\), where the first uncertainty is statistical and the second systematic. The BF of the inclusive decay \(\Lambda _c^+ \rightarrow {\bar{K}}^0/K^0X\) is \((19.8\pm 1.2\pm 0.8\pm 1.0)\)% where the third uncertainty of ±5% is included to account for possible differences between \({\mathcal {B}}(\Lambda _c^+ \rightarrow K_S^0X)\) and \({\mathcal {B}}(\Lambda _c^+ \rightarrow K_L^0X)\) [27], which is consistent with calculations with the statistical isospin model within 1.3\(\sigma \). The relative BF deviation of \((18.7\pm 8.3)\%\) between the inclusive \({\bar{K}}^0/K^0\) decay and the observed exclusive decays of \(\Lambda _c^+\), can be addressed by the extrapolated exclusive decays of \(\Lambda _c^+\) listed in Table 1. Experimentally, only one decay mode involving a neutron in the final state was observed at BESIII [9]. More decay modes involving neutrons or hyperons in the final states can be experimentally pursued, especially decays with a large BF, e.g. \(\Lambda _c^+\rightarrow n\bar{K}^0\pi ^+\pi ^0\) whose BF is calculated to be \((3.07\pm 0.16)\)% by the statistical isospin model. Recently, the BF of \(\Lambda _c^+\rightarrow \Xi ^0K^0\pi ^+\) was calculated to be \((8.70\pm 1.70\))% by the SU(3) flavor symmetry model [28], while it is only \((0.62\pm 0.06)\)% in the statistical isospin model. Measuring the BF of \(\Lambda _c^+\rightarrow \Xi ^0K^0\pi ^+\) will test these two models.